Best News API for Developers

NewsAPI.ai (Event Registry) vs GDELT Project: full comparison for 2026

Quick verdict

NewsAPI.ai (Event Registry) (4.3/5) edges ahead of GDELT Project (3.9/5) overall. NewsAPI.ai (Event Registry) is the better choice for developers building multilingual event or research tools. GDELT Project is the stronger option for zero-budget data projects and research prototypes. The right pick depends on your budget, how much history you need and whether you need full text.

NewsAPI.ai (Event Registry) vs GDELT Project: head-to-head summary

Criterion NewsAPI.ai (Event Registry) GDELT Project
Founded 2017 2013
HQ Ljubljana, Slovenia Open research project (no commercial HQ)
Team size 11–50 Not publicly disclosed
Rating 4.3 / 5 3.9 / 5
Primary differentiator Event records that join coverage of one story across languages No key, no fee and global coverage refreshed every 15 minutes
Pricing model Monthly token plans; per-token overage Free
Entry price $90/mo Free
Formats & SDKs REST API, JSON, Python SDK REST API, JSON, CSV
Typical uses Research & academia, Media monitoring, Financial services, Risk & compliance Research & academia, Risk & compliance, Media monitoring

NewsAPI.ai (Event Registry) vs GDELT Project: overview

NewsAPI.ai (Event Registry)

NewsAPI.ai is sold by Event Registry d.o.o., a Ljubljana company that left the Jožef Stefan Institute's AI lab as a spin-off in 2017. Its query model is built around events: articles about the same real-world story in different languages are linked into one event record, and each article carries concepts mapped to Wikipedia entities, categories and sentiment. Developers get an open-source Python client on GitHub and a published token price list, with recent-news searches at one token and archive searches costing more; the 5K-token plan is about $90 a month. Expect to write paging code. A search returns at most 100 articles, so bigger pulls take many calls, each billed in tokens, and some developers report pagination and rate-limit friction on larger jobs (user reports; independently unverifiable).

GDELT Project

The GDELT Project, created by Kalev Leetaru, watches broadcast, print and web news in more than 65 languages and publishes fresh data every 15 minutes. The DOC 2.0 API needs no key and no signup, which makes it the fastest free start here, and it returns article lists and timelines for a query. Bulk event and knowledge-graph tables are also available in Google BigQuery for SQL users. Two things trip developers up. Responses contain metadata and links only, so you have to fetch and parse each article yourself, and the data formats were designed for researchers, with field names and conventions that take some reading to understand.

Features: NewsAPI.ai (Event Registry) vs GDELT Project

Capability NewsAPI.ai (Event Registry) GDELT Project
Full article text ✓ ✗
Historical archive ✓ ✓
NLP enrichment ✓ ✓
Story/event clustering ✓ ✗
Official SDK ✓ ✗
Streaming or webhooks ✓ ✗
Free access ✓ ✓

Formats and SDKs: NewsAPI.ai (Event Registry) vs GDELT Project

Format / SDK NewsAPI.ai (Event Registry) GDELT Project
REST API ✓ ✓
Python SDK ✓ N/A
Node.js SDK ✓ N/A
Webhooks ✓ N/A
WebSocket N/A N/A
MCP server N/A N/A
S3/bulk delivery N/A N/A
BigQuery N/A ✓

Pricing comparison: NewsAPI.ai (Event Registry) vs GDELT Project

Criterion NewsAPI.ai (Event Registry) GDELT Project
Entry price $90/mo Free
Pricing model Monthly token plans; per-token overage Free
Access models Free tier, Monthly plans, Enterprise contract Open data
Price transparency Public price Public price
Price tier Budget Free

Who each API suits: NewsAPI.ai (Event Registry) vs GDELT Project

Dimension NewsAPI.ai (Event Registry) GDELT Project
Buyer type Individuals to enterprise Individuals to enterprise
Typical uses Research & academia, Media monitoring, Financial services Research & academia, Risk & compliance, Media monitoring
Example use cases Following one story as it spreads across countries and languages. Research tools that analyse media coverage over time. A free signal source that tells you which articles to fetch. Geopolitical dashboards in BigQuery.
How you get access Free tier Open data

NewsAPI.ai (Event Registry) vs GDELT Project: pros and cons

NewsAPI.ai (Event Registry)
+ Cross-language event linking that would take months to build yourself
+ Concepts resolve to Wikipedia entities, which makes filters exact
+ Token prices are public, so you can estimate a bill before signing up
+ The open-source Python client ships with many worked query examples
- A 100-article cap per search means writing and paying for many paginated calls
- Developers report pagination and rate-limit friction on large jobs (user reports; independently unverifiable)
- Archive searches cost more tokens, and unused tokens expire monthly
- The query language has a learning curve
GDELT Project
+ You can call it right now with no account
+ BigQuery tables let you query years of events with SQL
+ Machine-translated coverage in 65+ languages
+ Event coding of who did what to whom suits geopolitical work
- No article text, only links and derived fields
- No SLA or support channel
- Research-style schemas take time to learn

Who should choose NewsAPI.ai (Event Registry)?

A typical fit: following one story as it spreads across countries and languages.

Event records that join coverage of one story across languages. Paid access starts at $90/mo. Typical uses: Research & academia, Media monitoring, Financial services, Risk & compliance.

Who should choose GDELT Project?

A typical fit: a free signal source that tells you which articles to fetch.

No key, no fee and global coverage refreshed every 15 minutes. Paid access starts at Free. Typical uses: Research & academia, Risk & compliance, Media monitoring.

Decision matrix: NewsAPI.ai (Event Registry) vs GDELT Project

Your situation Recommended choice
You want to start free before paying Both
Your budget is at the lower end GDELT Project
You need full article text in the response NewsAPI.ai (Event Registry)
You need years of historical news Both
You want an official SDK NewsAPI.ai (Event Registry)
You are wiring news into an LLM agent Both work through plain REST calls

Use case fit: NewsAPI.ai (Event Registry) vs GDELT Project

Use case NewsAPI.ai (Event Registry) fit GDELT Project fit Winner
Research & academia Strong Strong Both equally
Media monitoring Strong Strong Both equally
Financial services Strong Limited NewsAPI.ai (Event Registry)
Risk & compliance Strong Strong Both equally

Verdict: NewsAPI.ai (Event Registry) vs GDELT Project

NewsAPI.ai (Event Registry) (4.3/5) is the stronger overall choice as a news data source. Event records that join coverage of one story across languages.

GDELT Project (3.9/5) is worth a look if you need geopolitical dashboards in BigQuery. If your situation matches that, GDELT Project is a competitive option.

Related comparisons

NewsAPI.ai (Event Registry) vs GDELT Project FAQ

Is NewsAPI.ai (Event Registry) better than GDELT Project?

NewsAPI.ai (Event Registry) (4.3/5) scores higher overall, but "better" depends on your use case. NewsAPI.ai (Event Registry)'s strongest advantage: cross-language event linking that would take months to build yourself. GDELT Project's strongest advantage: you can call it right now with no account.

How do NewsAPI.ai (Event Registry) and GDELT Project differ in pricing?

NewsAPI.ai (Event Registry): monthly token plans; per-token overage, with paid access from $90/mo. GDELT Project: free, with paid access from Free. Both offer some free access for testing.

Which is better for enterprise: NewsAPI.ai (Event Registry) or GDELT Project?

NewsAPI.ai (Event Registry) sells enterprise contracts with negotiated volume and SLA terms. Neither carries licensed publisher content, so check copyright terms before republishing anything.

What are the main differences between NewsAPI.ai (Event Registry) and GDELT Project?

What sets NewsAPI.ai (Event Registry) apart: event records that join coverage of one story across languages. What sets GDELT Project apart: no key, no fee and global coverage refreshed every 15 minutes. They also differ on entry price ($90/mo vs Free) and typical uses (Research & academia, Media monitoring vs Research & academia, Risk & compliance).

Verify all details directly with each API before making a decision.